Design and optimize prompts for Vision-Language Models to support document classification and code compliance validation. - Build and maintain automated AI evaluation pipelines that measure model accuracy, latency, and cost. - Architect scalable AI platform capabilities using Azure, Python, and FastAPI, ensuring production readiness.
Design and develop AI-powered applications using LLMs, Generative AI, and Machine Learning.
Build AI Copilots, AI Agents, and RAG solutions to improve software engineering and operational workflows.
Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
Planned Systems International (PSI) is a technology company that provides IT solutions and services to federal agencies, including the U.S. Department of Veterans Affairs. PSI is a mid-sized organization that values innovation and collaboration, fostering a culture of professional growth and support.
Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Design, develop, and maintain AI and LLM-powered applications using Azure cloud technologies.
Integrate AI capabilities with internal systems and data sources.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
ISACA champions the global workforce advancing trust in technology. With 195,000+ members and 230 chapters globally, it provides credentials and training for IT professionals.
Design and build production-grade AI and Generative AI solutions, including LLM applications, AI agents, and RAG pipelines, on Microsoft Azure.
Integrate AI capabilities with enterprise platforms like CRM, ERP, and ITSM, ensuring scale, reliability, and security.
Contribute to responsible AI practices and implement governance controls such as data classification, prompt injection defenses, and audit logging.
Unit4 is an agile, fast-growing cloud company redefining Enterprise Resource Planning (ERP) for mid-market people-centric organizations. With over 40 years of heritage, it fosters a high-performance, people-first culture that values trust, autonomy, and inclusion.
Own the design and implementation of Benepass's internal AI platform from 0 to 1.
Accelerate the engineering SDLC with AI-assisted coding, CI/CD integration, and quality automation.
Build agentic workflows and knowledge systems that scale across the company.
Benepass is a fintech platform that makes employee benefits easy, allowing companies to customize perks for their workforce. We're a fast-growing startup backed by major investors with $75M raised and named one of Inc.'s Best Workplaces.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Build, maintain, and enhance secure, reliable AI-enabled applications for internal business teams.
Work at the intersection of Python backend engineering, Azure cloud services, and practical AI implementation.
Collaborate with stakeholders to understand requirements and design production-ready solutions.
Penguin Random House is a leading publishing house with nearly 300 imprints, publishing books across all genres for all ages. They have a vibrant, diverse international community and value the array of talents and perspectives that a diverse workforce brings.
Assist in building and testing AI-powered applications using enterprise LLMs (OpenAI, Anthropic Claude, Google Gemini) under the guidance of senior engineers.
Contribute to the development and testing of retrieval-augmented generation (RAG) systems that ground AI responses in proprietary data.
Participate in rapid POC development cycles, contributing code, documentation, and iterative improvements.
WelbeHealth serves our communities’ most vulnerable seniors through shared intention, pioneering spirit, and the courage to love. We are a mission-driven healthcare organization focused on participant care, innovation, and team culture.
Leverage data to design, develop, deploy and maintain scalable AI/ML systems and pipelines using Python, MLflow, Azure stack, and Databricks.
Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes.
Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines.
EcoVadis is the leading provider of business sustainability ratings, analyzing data to build scorecards for environmental, social and ethical risks. The company is backed by an international team of experts and powerful technology, with a culture focused on smart work, fun, and making an impact.
Set technical direction across multiple services and teams as a senior individual contributor.
Define AI platform patterns including agent orchestration, tooling, governance hooks, and evaluation surfaces.
Stay hands-on, designing and building production systems in Python across the AI stack.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. Serving 20,000 client companies globally, including 30% of the Fortune 500, the company fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
Define and own the technical roadmap for AI platform initiatives, driving semi-annual and annual milestones.
Architect and implement production-grade LLM orchestration systems including agent frameworks and multi-step reasoning.
Lead technical design for cross-functional AI features, making decisions when trade-offs are unclear.
CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. They are a fast-growing company backed by top-tier investors like Sequoia, ICONIQ, Accel, and Sapphire Ventures, empowering high-growth companies like Netflix, Figma, and Stripe.
Partner with business teams to identify high-value AI use cases across company functions.
Design and build AI-powered solutions using LLMs, prompt engineering, and workflow automation.
Rapidly build prototypes and proof-of-concepts to validate business value and technical feasibility.
Redcare Pharmacy is Europe's No.1 e-pharmacy, providing online pharmacy services. The company fosters a collaborative work environment where employees feel valued and inspired.
Lead the development of our patient-facing conversational agent
Implement scalable, low-latency systems for voice and multimodal conversations
Work with clinical experts to validate performance and medical accuracy
UpDoc is building the first clinically validated, physician-supervised AI agent that manages chronic diseases. It is an early-stage startup founded by Stanford physicians.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Build machine learning and generative AI platforms used across the company.
Create backend infrastructure for scalable, resilient, and high-performance solutions.
Deploy and manage applications in production, coding daily with Python and modern frameworks.
Lyra Health provides evidence-based mental health care, serving over 20 million people globally. The company employs a large workforce and emphasizes a collaborative, mission-driven culture focused on social impact and clinical excellence.
Design, build, deploy, and maintain production LLM-based solutions and agent workflows.
Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption.
Partner with Cybersecurity and Compliance to design PHI-safe data handling patterns and ensure AI solutions align with relevant controls.
Included Health is a healthcare company delivering integrated virtual care and navigation, breaking down barriers to provide high-quality care for every person. They have a remote-first culture and are an Equal Opportunity Employer.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.
Build asynchronous Python/TypeScript services with FastAPI, Pydantic, and asyncio.
Develop agent orchestration, subagent delegation, tool calling, and structured outputs.
Create behavioral evals and regression datasets using Langfuse.
We are a venture-backed defense-tech company building AI-native intelligent software for sovereign institutions and their affiliated organizations. We have offices across the U.S., Europe, and the Middle East, and we are expanding our engineering team with people who demonstrate strong ownership and sound judgment.
Partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform.
Own the journey from initial exploration to production deployment, translating ambiguous goals into reliable services.
Work across product, software development, performance engineering, and customer-facing implementations.
Baseten powers mission-critical inference for dynamic AI companies like Cursor and Notion. They are rapidly growing, recently raised a $1.5B Series F, and foster a collaborative, forward-thinking culture.